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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13322
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    Explanations

    words related to temperature, especially focusing on low and high temperatures and different conditions involving temperature

    oai_token-act-pair · gpt-3.5-turbo

    terms related to temperature and environmental conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oris
    -0.71
    ophy
    -0.65
    algia
    -0.64
    tro
    -0.62
    icer
    -0.62
    arl
    -0.59
     brothers
    -0.59
    aeper
    -0.59
    Tw
    -0.59
    amaz
    -0.58
    POSITIVE LOGITS
     imaginable
    0.99
     (>
    0.93
     (<
    0.90
     WITHOUT
    0.81
     without
    0.80
     surrounded
    0.73
     using
    0.70
     risking
    0.68
     undet
    0.68
    without
    0.68
    Activations Density 0.360%

    No Known Activations